Convex optimization optimality

  • What is the feasible set of a convex optimization?

    The Convex Feasible Set Algorithm is a fast algorithm for solving motion planning problems with convex objective functions and non-convex constraints.
    It transforms the non-convex problem into a sequence of convex problems and solves them iteratively..

The following are useful properties of convex optimization problems: every local minimum is a global minimum; the optimal set is convex; if the objective function is strictly convex, then the problem has at most one optimal point.

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